KANSEI TEXTURE for Remote Object Image and its Visualization Method

Abstract

KANSEI TEXTURE (“Shokushitsu-kan” in Japanese) is defined as a quantitative sensation index on 5D [-1,1]⁵ cube, where five elements (Roughness, Hardness, Dryness, Warmness, Glossiness) are accepted with 120 selected onomatopoeia words. It aims to represent visual and/or texture information of an object photo/movie for compensating the information gap between the real object and its photo/movie image. The five dimensional cube for KANSEI TEXTURE is compressed to three-dimensional cube [-1,1]³ by doing cognitive experiments with PCA (Principal Component Analysis), and its visualization representation is also proposed for the easy use by general people. The proposal is expected to be used to get visual/tactile perception of the objects in net shopping, robot vision, telemedicine, e-learning, and others, where the real objects are not available but only their still/dynamic images with brief text explanation are obtainable.